Construction of intelligent decision model for multi-channel collaborative fee urging

Xia Shangguan; Rongyan Cai; Zhen Ke; Shaoen Liu; Zhaozhi Zhang

doi:10.1117/12.2681005

23 May 2023 Construction of intelligent decision model for multi-channel collaborative fee urging

Xia Shangguan, Rongyan Cai, Zhen Ke, Shaoen Liu, Zhaozhi Zhang

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453M (2023) https://doi.org/10.1117/12.2681005
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

In order to effectively replace the daily fee urging work of the grid manager, realize the lean fee urging ability, give full play to the channel efficiency, and improve the efficiency of multi-channel collaborative fee urging and customer experience, an intelligent decision-making model for multi-channel collaborative fee urging was built. The sliding window and the anti k-nearest neighbor method are used to obtain multi-channel collaborative fee urging samples. According to the availability, integrity and business relevance of the data, based on incremental principal component analysis, combined with entropy method, the feature of multi-channel collaborative fee urging is selected. By using Logistic regression algorithm, an intelligent decision model of multi-channel collaborative fee urging is built to realize intelligent decision oriented to multi-channel collaborative fee urging. The experimental results show that the proposed method has a strong multi-channel collaborative fee urging capability and can effectively improve the efficiency of multi-channel collaborative fee urging.

Citation Download Citation

Xia Shangguan, Rongyan Cai, Zhen Ke, Shaoen Liu, and Zhaozhi Zhang "Construction of intelligent decision model for multi-channel collaborative fee urging", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453M (23 May 2023); https://doi.org/10.1117/12.2681005

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